Abstract
There are millions of visually impaired people in the world. According to the World Health Organization (WHO) data on visual impairment, 1.3 billion people are living with some kind of visual impairment while 36 million people are completely visually impaired. Reading is one of the major necessities of visually impaired people. Numerous researchers have worked on developing a mechanism that allows blind people to detect obstacles, to read the labels or specific currencies and to read the written, typed or printed text. We proposed a system which facilitates the visually impaired people by converting the text into voice signal based on raspberry pi. Optical Character Recognition (OCR) scheme is employed for the detection of printed text using a camera. Typed, handwritten characters or text are converted into machine-encoded text. The proposed method is developed on the raspberry pi in which OCR is employed for an image to audio converter which is the output of the system. It is a smart real-time device based on OCR.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
https://www.who.int/blindness/GLOBALDATAFINALforweb.pdf?ua=1
Goel, A., Sehrawat, A., Patil, A., Chougule, P., Khatavkar, S.: Raspberry Pi Based Reader for Blind People (2018)
Jadhav, M.S., et al.: Raspberry pi based reader for blind. Int. J. Innov. Emerg. Res. Eng. 5(1), 1639–1642 (2018)
Subbiah, A.: Camera based label reader for blind people. Int. J. Chem. Sci. 14(S3), 840–844 (2016). ISSN 0972-768X
Velmurugan, D., et al.: A Smart reader for visually impaired people using Raspberry pi. IJESC. https://doi.org/10.4010/2016.699. ISSN 2321 3361 © 2016
Bhargava, A., Nath, K.V.: Reading assistant for the visually impaired. 5(2) (2015)
Shah1, P.H., et al.: A portable prototype label reading system for blind. 4(9) (2015)
Ezhilarasi, C., et al.: A raspberry pi based assistive aid for visually impaired users. 3(2) (2017)
Abinaya, R.I., et al.: Compact camera based assistive text product label reading and image identification for hand-held objects for visually challenged people. 3(1), 87–92 (2015)
Sharma1, P., et al.: Design of microcontroller based virtual eye for the blind. 3(8) (2014)
Bisht, S., et al.: Refreshable Braille Display using Raspberry Pi and Arduino, vol. 6, no. 3, June 2016. Accepted 01 June 2016, Available online 06 June 2016
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Zamir, M.F., Khan, K.B., Khan, S.A., Rehman, E. (2020). Smart Reader for Visually Impaired People Based on Optical Character Recognition. In: Bajwa, I., Sibalija, T., Jawawi, D. (eds) Intelligent Technologies and Applications. INTAP 2019. Communications in Computer and Information Science, vol 1198. Springer, Singapore. https://doi.org/10.1007/978-981-15-5232-8_8
Download citation
DOI: https://doi.org/10.1007/978-981-15-5232-8_8
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-5231-1
Online ISBN: 978-981-15-5232-8
eBook Packages: Computer ScienceComputer Science (R0)